Information about the department
At the department of Electrical Engineering, research and education are performed in the areas of Communication and Antenna systems, Systems and Control, Computer Vision, Signal Processing and Biomedical Engineering, and Electric Power Engineering. Our knowledge is of use everywhere where there is advanced technology with integrated electronics. We work with challenges for a sustainable future in society of today, for example in the growing demands concerning efficient systems for communications and electrifying.
We offer a dynamic and international work environment with about 200 employees from more than 20 countries, and with extensive national and international research collaborations with academia, industry and society.
The department provides about 100 courses, of which most are included in the Master’s Programs ”Biomedical Engineering”, “Electric Power Engineering”, ”Systems, Control and Mechatronics” and ”Communication Engineering”.
Read more here.
Information about the research group
The Computer Vision Group conducts research in the field of automatic image interpretation. The group targets both medical applications, such as the development of new and more effective methods and systems for analysis, support and diagnostics, as well as general computer vision applications including autonomously guided vehicles, image-based localization, stereo and structure-from-motion. The main research problems include mathematical theory, algorithms and machine learning for inverse problems such as reconstruction, segmentation and registration.
We are looking for an energetic researcher with a solid mathematical background capable of performing research at the international forefront. Our focus is on basic science in the field of computer vision and related areas including medical image analysis, pattern recognition and robotics. The research is centered around the development of novel and theoretically justified algorithms relevant to basic key problems in practical applications such as image localization, registration, stereo and autonomous navigation, or ultimately, relevant to visual scene understanding.
As professor or associate professor, you are expected to play a leading role in research and education in your subject area. As professor or associate professor, you are expected to play a leading role in research and education in your subject area. The work tasks include teaching at all levels, from undergraduate to graduate and postgraduate level and supervision of PhD students. Administration and management of research and other areas will be among the work tasks as well as information, communication and planning of research projects. Collaboration with partners in the industry, public organisations and academia will be of high importance.
Full-time permanent position. The level of the position will primarily be determined on the basis of your scientific qualifications.
The position requires a PhD in Computer Vision or equivalent with a proven track-record of i) an independent and internationally recognized line of research within the field and ii) being able to supervise PhD students and teach in the undergraduate and graduate curriculum at the Department of Electrical Engineering.
Mandatory is also to i) have published in the major scientific journals within the field and ii) have presented your research and participated at the main international conferences.
The position requires sound verbal and written communication skills in Swedish and English. If Swedish is not your native l anguage, you should be able to teach in Swedish on undergraduate level after two years. Chalmers offers Swedish courses.
Our priority is research excellence, and the ideal candidate should already have a strong track-record, but more importantly, have the potential to become an internationally recognized research leader in the long term.
Meritorious is post-doctoral research experience from different environment than that of PhD education. Further, to be successful in this position you need to be highly motivated and willing to strive towards a scientific independence but at the same time like to cooperate, support and teach students, PhDs and colleagues.
Experience of recent machine learning methods is also meritorious.
Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.
The application should be marked with Ref 20170639 and written in English. The application should be sent electronically and be attached as pdf-files, as below:
CV: (Please name the document as: CV, Family name, reference number) including:
• complete list of publications, (Divided into peer reviewed/non peer reviewed journal articles,conference contributions, etc)
• Two references that we can contact
Personal letter: (Please name the document as: Personal letter, Family name, reference number) including:
• 2-3 pages where you introduce yourself present your qualifications and describe your future research plans
• Previous research fields and main research results
• Future goals and research focus. Are there any specific projects and research issues you are primarily interested in?
• Copies of your most relevant publications in full format (maximum of ten publications). It is a good idea to attach the files as a PDF or compress them into a Zip file.
• Copies of a maximum of ten other publications that substantiate your other qualifications (for example, educational publications and popular science articles)
• Please use the specified format for the Pedagogical Portfolio when you compile your pedagogical qualifications.
• Certificates of courses completed in pedagogy for higher education (15 ECTS points, 10 Swedish credit points in the previous credit system), or other equivalent courses, or proven equivalent pedagogical expertise.
Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).
Application deadline: 15 February 2018
For questions, please contact:
Professor Fredrik Kahl, leader of the Computer Vision Group
Phone: +46 31 7725057
*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***
Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our eight Areas of Advance; Building Futures, Energy, Information & Communication Technology, Life Science, Materials Science, Nanoscience & Nanotechnology, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!
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